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Gambits: Know exactly what you can build

Think of Gambits as building blocks for creating AI Agents. It is like Lego, but the results are far more productive.

Basic Gambits

They are the foundation of your Agent’s journey. Customize it with different settings to guide conversations and structure interactions just the way you need.

API Gambit

Lets your Agent connect with other services. It's like giving your assistant the ability to reach out to other tools when it needs information or needs to do something.

Prime Q&A Gambit

Combines AI language models with smart prompting. You can adjust all sorts of settings, like how the assistant searches for information, how creative its responses are, and whether it remembers past conversations.

AI Agent Gambit

Combines AI tools, prompts, and workflows to create powerful automation. This Gambit helps build fully functional Agents that handle tasks intelligently.

Intent Detection

Gambit ensures your Agent understands what users mean. It analyzes queries, detects intent, and precisely directs responses to match user needs. When someone asks a question, it figures out what they want and matches it to the right category.

Data Extraction

Helps collect information directly through the interface. You can mark which information is absolutely necessary, and the assistant won't move forward until it gets it. It also makes sure all the responses match the available options exactly, avoiding confusion or errors.

Apps

Gambit allows you to connect your Agent with tools like Google Calendar, Zendesk, and more. Expand its capabilities by integrating it with the apps you already use.

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What can you actually automate?

Step driven workflows

Agents that focus on tasks that are executed in a fixed, step-by-step manner, where each step follows the previous one.
A structured journey that is constructed by combining different Gambits can automate a similar workflow.
Example: A customer service Agent takes an issue report, gathers details step by step, and then escalates it with relevant information.

Decision-tree Agentic workflows

The AI follows a branching logic, making decisions based on predefined conditions.
An Intent Detection Gambit can help classify user inputs and direct them to the right workflow.
Example: A financial bank Agent asks a series of questions (e.g., "Are you looking for a loan or investment advice?"), then follows different paths based on user responses.

Information retrieval workflows

The AI fetches relevant external information before processing and responding.
A Prime Q&A Gambit trained on a specific Knowledge Base can be configured to automate retrieval workflows with options like chunk ranking and hybrid search.
Example: A research assistant uses an LLM to analyze a query, retrieves the latest academic papers, and then generates a summary.

Multi-step tool use Agentic workflows

The Agentic workflow uses multiple tools in a sequence to complete a task.
An AI Agent Gambit allows you to integrate multiple tools to automate a complete workflow. The LLM calls each tool when needed in the workflow.
Example: An Agent first crawls and extracts data from a document, then creates a summary along with a relevant graphic to go with it.

Human-in-the-loop Agentic workflows

The AI Agent handles parts of the task but requires human approval or intervention at key decision points.
With the Apps Gambit, you can integrate options like Live Chat support in the workflow to pass on the conversation to a human when needed.
Example: A content moderation tool flags potentially harmful messages but requires a human moderator to make the final decision.

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Smart AI solutions for every need

With Tars you can build Conversational AI Agents that truly understand your needs and create intelligent conversations.

Tars: AI Agents for your customers

Optimize internal workflows across departments, from sales and marketing to talent acquisition and product management. This will allow your team to focus on the bigger picture.

Asimov: AI Agents for teams

Optimize internal workflows across departments, from sales and marketing to talent acquisition and product management. This will allow your team to focus on the bigger picture.

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“

Very responsive and supportive Team

“

I love how supportive and responsive the team members are. The chatbots are not difficult to build once you have an idea of what you are doing, and this is so based on the backend work Tars has completed. Also, they are flexible to the clients' requests.

Keisha Cameron

Product Manager
Victoria Mutual Group

“

The chatbot implementation has exceeded expectations!

“

The implementation has delivered 24/7 customer support and is proving its value by reducing Contact center calls by around 5% in just four months of operation. Beyond enhancing the e-care experience, the chatbot is driving impressive business results, achieving a remarkable 20% month-on-month growth.